Division of Pathology, The Cancer Institute of Japanese Foundation for Cancer Research, 3-8-31, Ariake, Koto-ku, Tokyo 135-8550, Japan.
Eur J Cancer. 2013 Apr;49(6):1187-95. doi: 10.1016/j.ejca.2012.11.022. Epub 2012 Dec 19.
The one-step nucleic acid amplification (OSNA) assay can assess an entire lymph node and detect clinically relevant metastases quantified based on cytokeratin 19 (CK19) mRNA copy number. The OSNA assay of all sentinel lymph nodes (SNs) and non-sentinel nodes (non-SNs) allows for the accurate measurement of tumour burden in either situation. We aim to reveal the usefulness of the OSNA assay regarding the prediction of non-SN metastasis.
The subjects consisted of 185 breast cancer patients who underwent axillary dissection after a metastatic SN biopsy and whose SNs and non-SNs were examined using the OSNA whole-node assay between 2009 and 2011. The non-SN tumour burden was classified as macrometastasis (CK19 mRNA ≥ 5000 copies/μl) or micrometastasis (250-5000 copies/μl). The relationship between SN and non-SN tumour burdens and predictors of non-SN metastasis were investigated.
Among these 185 patients, 38 patients (20.5%) had macrometastasis and 58 (31.4%) had micrometastasis only in the non-SNs. Non-SN macrometastasis rates increased in direct proportion to the SN copy number: approximately 5% in patients with SNs with 250-500 copies; 20%, 500-5000 copies and 30%, ≥ 5000 copies. However, non-SN micrometastasis rates were approximately 30% regardless of the SN copy number. In multivariate analyses, the mean SN copy number, number of macrometastatic SN and lymphovascular invasion were significant for identifying non-SN macrometastases.
The SN tumour burden quantified using the OSNA assay predicts non-SN metastases. A novel mathematical model to predict the non-SN tumour burden can be generated using the results of the OSNA assay.
一步法核酸扩增(OSNA)检测可评估整个淋巴结,并基于细胞角蛋白 19(CK19)mRNA 拷贝数检测临床相关的转移灶。OSNA 检测所有前哨淋巴结(SNs)和非前哨淋巴结(non-SNs),可在两种情况下准确测量肿瘤负荷。我们旨在揭示 OSNA 检测对非 SN 转移预测的作用。
本研究纳入了 185 例在转移性 SN 活检后接受腋窝清扫术的乳腺癌患者,这些患者在 2009 年至 2011 年间接受了 OSNA 全淋巴结检测。非 SN 肿瘤负荷分为巨转移(CK19 mRNA≥5000 拷贝/μl)或微转移(250-5000 拷贝/μl)。研究了 SN 和非 SN 肿瘤负荷之间的关系,以及非 SN 转移的预测因子。
在这 185 例患者中,38 例(20.5%)患者非 SN 有巨转移,58 例(31.4%)患者非 SN 仅存在微转移。非 SN 巨转移率与 SN 拷贝数成正比增加:SN 拷贝数为 250-500 拷贝时约为 5%;500-5000 拷贝时为 20%;≥5000 拷贝时为 50%。然而,无论 SN 拷贝数如何,非 SN 微转移率均约为 30%。多变量分析显示,SN 平均拷贝数、巨转移 SN 数量和脉管侵犯是非 SN 巨转移的显著预测因子。
OSNA 检测量化的 SN 肿瘤负荷可预测非 SN 转移。可使用 OSNA 检测结果生成预测非 SN 肿瘤负荷的新数学模型。